Papers by Keyword: Trust

Abstract: Aim - This study aims to reveal the effect of religiosity and brand image on the behavioral intention with trust and satisfaction as mediating variables at the Larazeta halal restaurant. Design/Method/Approach - Data were collected through a questionnaire with a total sample of 100 customers of the Larazeta halal restaurant. The respondents were customers of the Larazeta halal restaurant who had visited the restaurant that has many branches in Indonesia at least once. The sampling technique used is convenience sampling. This study used a quantitative approach with the Structural Equation Modelling-Partial Least Squares Analysis. The exogenous variables in this study include religiosity and brand image, the mediating variables consisted of trust and satisfaction, while the endogenous variable was the behavioral intention. Results - The results indicate that the variables of religiosity and brand image had a significant effect on the behavioral intention, trust, and satisfaction variables of Larazeta halal restaurant customers. Practical Implications – This study provides an understanding of how religiosity, brand image, trust, and satisfaction can influence the behavioral intention of halal food consumers. Originality– There is a little research investigating the relationship between religiosity and marketing in Islam in Indonesia with unique demographic conditions. Research gaps are found in the previous studies, namely the broad scope of research so that they were not effective in explaining areas that have unique demographic characteristics. Therefore, for the first time, the present study aims to analyze specifically the relationship of religiosity and brand image on behavioral intention, with trust and satisfaction as mediating variables in discussing halal food as a healthy lifestyle in Indonesia. Keywords : Healthy Lifestyle, Religiosity, Brand Image, Trust, Satisfaction, Behavioral Intention, Halal Food

Abstract: Collaborative filtering recommendation is a mainstream personalized recommendation method, which has some flaws in actual application. And there are some inaccurate recommendation results in some cases. Considering the relationship of trust and similarity of user preference, this paper introduces trust to recommendation model and considers multi-dimensional factors of user preference, proposes a personalized recommendation method based on trust and preference. The recommendation method can improve the accuracy of recommendation system. Finally, this paper proves effectiveness of this recommendation method through the experiments.

Abstract: Trust is the foundation of all kinds of Internet activity. As a more open resource sharing model, cloud computing environment consists of mass resource owners and users belonged to different control domain. Therefore, the establishment of the trust relationship among the participants and the guarantee of security and efficiency in the computing process are one of the most fundamental problems of cloud computing security. This paper proposes a two-Layer hybrid trust mechanism based on agent trust. In my proposition, trust relationship is relayed and secure computing environment is established among the different participants by the various existing trust methods.

Abstract: The customers of mobile banking have increased rapidly with the development of mobile internet. So there is a need to identify the factors that influence customer acceptance of mobile banking service, and need to research how the factors influence. This research proposed a mobile banking user adoption model based on the TAM, integrating social influence, and trust perception to predict the user intention. The comprehensive research model was empirically examined. We found that perceived usefulness, perceived ease of use, social influence, and trust perception have significantly effects on user adoption. In addition, we also tested that perceived ease of use has significant effects on perceived usefulness. All hypotheses were supported in this research.

Abstract: With the increasing volume of E-commerce transactions in China, trust issue in E-commerce is increasingly prominent, which has been one major bottleneck of the sound development of E-commerce in China. This thesis aims to analyze the reasons for the lack of trust in E-commerce by starting with C2C E-commerce platform, and to analyze the main factors influencing the trust conduct of transaction bodies and put forward suggestions for improving credit system through the use of the static game theory.

Abstract: It has been widely believed that trust is the basis for on-line trading by both academia and practice. The process of f initial trust formation is a dynamic and repeated process. In the electric business environment, this work chose to research the first phase of the process, which is initial trust. The Writer established dynamic model of initial trust formation biased on theory of planned behavior with other theories, such as TAM and social exchange theory, after micro-analyzing this formation mechanism from. in order to confirming effectiveness of the dynamic model, the writer adopted empirical study, from which writer got an order of . From the result of empirical study, we got the strength order of main factors that can influence the establishment of initial trust.

Abstract: Knowledge community, an online community form, is different from the real ones. It emphasizes the importance of effective knowledge management and the trust among the members. Researches on trust nowadays mainly focus on the P2P business model, the personalized recommendation systems of mobile equipment and etc. This paper sought to find a way to quantify the trust of knowledge communities. Two cases are considered in the paper. In this paper, it is thought that trust can be calculated based on the historical interactions, and if not, it can be predicted by user’s profession and preference. This paper provided two models based on the two different situations, and verified the model by an experiment.

Abstract: -In the current intelligent algorithm recommendation systems, collaborative filtering recommendati

Abstract: This paper presents a method for construction contractor selection based on trust building. By classifying criteria into three types of trust and applying gray correlation analysis, the presented method concerns multi-criteria for evaluation other than price, selects trust-and selection-related criteria, provides approaches for indicator quantification and determines the contractor on the basis of gray correlation degree.

Abstract: As an integrated manufacturing model, networked manufacturing system can facilitate collaboration among enterprises and enhance competiveness of enterprises. However, the problem of trust is a bottleneck which limits the development of networked manufacturing system. In order to ensure the transaction in networked manufacturing system work well, the trust-evaluation between transaction entities (i.e., resource service providers and demanders) appears crucial. By reviewing the researches of trust-evaluation from related scholars, the paper makes a conclusion about them and points out future work of trust-evaluation.